{"title":"Optimizing the Distribution of Software Services in Infrastructure Clouds","authors":"Ulrich Lampe","doi":"10.1109/SERVICES.2011.15","DOIUrl":null,"url":null,"abstract":"In the public perception, cloud computing is frequently associated with almost unlimited elasticity and scalability of computing capacity. However, Infrastructure as a Service in the form of virtual machines provides limited supplies of virtual resources, due to restrictions of the underlying physical hardware. At the same time, the execution of Software as a Service instances leads to a specific demand for these resources. Based on this observation, I introduce the Software Service Distribution Problem, i.e., the challenge of (cost-)efficiently distributing the execution of software service instances across available cloud infrastructure providers and virtual machine types under resource constraints. I outline my research approach, which aims at the development of optimization algorithms in the context of an integrated Software Service Distribution Broker, and report the progress made to date.","PeriodicalId":429726,"journal":{"name":"2011 IEEE World Congress on Services","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE World Congress on Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SERVICES.2011.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In the public perception, cloud computing is frequently associated with almost unlimited elasticity and scalability of computing capacity. However, Infrastructure as a Service in the form of virtual machines provides limited supplies of virtual resources, due to restrictions of the underlying physical hardware. At the same time, the execution of Software as a Service instances leads to a specific demand for these resources. Based on this observation, I introduce the Software Service Distribution Problem, i.e., the challenge of (cost-)efficiently distributing the execution of software service instances across available cloud infrastructure providers and virtual machine types under resource constraints. I outline my research approach, which aims at the development of optimization algorithms in the context of an integrated Software Service Distribution Broker, and report the progress made to date.